Efficiency of the technology acceptance model to explain pre‐service teachers' intention to use technology

Timothy P. Teo · Ömer Faruk Ursavaş · Ekrem Bahçekapılı

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Technology Adoption and User Behaviour Education and Technology Integration Gender and Technology in Education

Abstract

Purpose The purpose of this study is to assess the efficiency of the technology acceptance model (TAM) to explain pre‐service teachers' intention to use technology in Turkey. Design/methodology/approach A total of 197 pre‐service teachers from a Turkish university completed a survey questionnaire measuring their responses to four constructs which explain their intention to use technology: attitude towards computer use, perceived usefulness, and perceived ease of use. A structural equation modeling (SEM) approach was employed for modeling and data analysis. Findings Results revealed that the TAM is an efficient model to explain the intention to use technology of Turkish pre‐service teachers. The proportion of variance explained in pre‐service teachers' intention to use technology by its antecedents was 51 percent. In addition, four out of five hypotheses were supported in this study. Overall, the data in this study provided support that the TAM is a fairly efficient model with a potential to help in understanding technology acceptance pre‐service teachers in Turkey. Originality/value The TAM is a well‐tested and validated model to explain the intention to use technology. However, information on its cross‐cultural validity is limited. This study validated the TAM on a sample of pre‐service teachers in Turkey and the results provided initial support for the cross‐cultural validity of the TAM.

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 1988Structural equation modeling in practice: A review and recommended two-step approach.1998Principles and Practice of Structural Equation Modeling 1980Understanding Attitudes and Predicting Social Behavior 1989User Acceptance of Computer Technology: A Comparison of Two Theoretical Models 2007Confirmatory factor analysis for applied research

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